Evidence map›Paper›PMID 31641743›Full record

ArticleThe journal of nutrition, health & aging2019

Development and Validation of a Tool to Screen for Cognitive Frailty among Community-Dwelling Elders.

S-H Tseng, L-K Liu, L-N Peng, P-N Wang, C-H Loh, L-K Chen

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of nutrition, health & aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Editorial: Physical Frailty: A Biological Marker of Aging?The journal of nutrition, health & aging · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

S-H TsengLiang-Kung Chen, Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Rd., Taipei 11217, Taiwan, lkchen2@vghtpe.gov.tw; Or Li-Ning Peng, Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Rd., Taipei 11217, Taiwan, E-mail address: lining.peng@gmail.com.
L-K Liu
L-N Peng
P-N Wang
C-H Loh
L-K Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesReciprocal age-related impairments in physical and cognitive functioning have been termed 'cognitive frailty', which is associated with adverse health outcomes and is a potential target for preventing or delaying the onset of disability in older people. However, cognitive frailty as currently defined is challenging to diagnose. To facilitate earlier diagnosis and intervention, we conducted this study to develop and validate a simple evidence-based instrument to identify community-dwelling elders at risk of cognitive frailty.

designRetrospective analyses of data from the I-Lan Longitudinal Aging Study (ILAS) to develop a prediction model, and from the Longitudinal Aging Study of Taipei (LAST) for external validation.

settingCommunity-dwelling adults from Taipei City, New Taipei City and Yilan (I-Lan) County, Taiwan.

participants1271 community residents ≥65 years old, without impaired global cognition or dependency for activities of daily living/instrumental activities of daily living. MEASUREMENTS: Demographic characteristics, anthropometric measurements, medical history, Mini-Mental State Examination, Montreal Cognitive Assessment, Functional Autonomy Measuring System, Functional Assessment Staging Test, Center for Epidemiologic Studies Depression Scale, handgrip strength, 6-metre walk speed.

methodsBaseline characteristics of groups with/without cognitive frailty were analyzed and factors differing significantly in univariate analysis input to binary logistic regression to develop a cognitive frailty risk (CFR) score.

resultsThe prevalence of cognitive frailty was 15.8% overall; ILAS 21.4%, LAST 8.4%. Predictors of CFR comprised: age ≥75 years; female sex; waist circumference ≥90 cm (male), ≥80 cm (female); calf circumference <33 cm (male), <32 cm (female); memory deficits; and diabetes mellitus. CFR ≥5/14 had sensitivity of 70%, specificity of 60%, and predictive accuracy of 72%.

conclusionsA CFR score based on simple history-taking and anthropometric measurements integrates age, sex, cardiometabolic risk, memory deficits, sarcopenia, and nutrition, with validated predictive accuracy, and could be performed easily in community settings to identify seniors with cognitive frailty for appropriate interventions.

Indexed as

Activities of Daily LivingAgedAged, 80 and overAgingCognitionCognitive DysfunctionFemaleFrail ElderlyFrailtyGeriatric AssessmentHand StrengthHumansIndependent LivingLongitudinal StudiesMalePrevalenceageCognitive frailtycommunityelderscreentool

Identifiers

PMID31641743
PMCPMC12280652

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.